视频识别自动分割场景
Input video file
Content detection threshold
Default: 27
Run this model in Node.js with one line of code:
npm install replicate
REPLICATE_API_TOKEN
export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run hexiaochun/video_split using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "hexiaochun/video_split:1328af827594e4ec8dd2a2e69bb7b50c760c2b643a011417d5027768a17954a1", { input: { video: "https://coze-tmp-file.oss-cn-shenzhen.aliyuncs.com/2024-06-06/test.mp4", threshold: 27 } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
import replicate
output = replicate.run( "hexiaochun/video_split:1328af827594e4ec8dd2a2e69bb7b50c760c2b643a011417d5027768a17954a1", input={ "video": "https://coze-tmp-file.oss-cn-shenzhen.aliyuncs.com/2024-06-06/test.mp4", "threshold": 27 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "hexiaochun/video_split:1328af827594e4ec8dd2a2e69bb7b50c760c2b643a011417d5027768a17954a1", "input": { "video": "https://coze-tmp-file.oss-cn-shenzhen.aliyuncs.com/2024-06-06/test.mp4", "threshold": 27 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
{ "completed_at": "2024-08-21T07:55:47.403346Z", "created_at": "2024-08-21T07:55:03.141000Z", "data_removed": false, "error": null, "id": "w677k0cwcnrge0chefq9q4nm7m", "input": { "video": "https://coze-tmp-file.oss-cn-shenzhen.aliyuncs.com/2024-06-06/test.mp4", "threshold": 27 }, "logs": "Detected: 0 | Progress: 0%| | 0/1468 [00:00<?, ?frames/s]\n Detected: 0 | Progress: 2%|▏ | 28/1468 [00:00<00:05, 278.04frames/s]\n Detected: 0 | Progress: 5%|▍ | 69/1468 [00:00<00:04, 340.56frames/s]\n Detected: 1 | Progress: 7%|▋ | 108/1468 [00:00<00:03, 356.67frames/s]\n Detected: 2 | Progress: 10%|█ | 150/1468 [00:00<00:03, 381.01frames/s]\n Detected: 2 | Progress: 13%|█▎ | 191/1468 [00:00<00:03, 388.81frames/s]\n Detected: 3 | Progress: 16%|█▌ | 230/1468 [00:00<00:03, 382.94frames/s]\n Detected: 4 | Progress: 18%|█▊ | 269/1468 [00:00<00:03, 370.66frames/s]\n Detected: 4 | Progress: 21%|██ | 307/1468 [00:00<00:03, 370.26frames/s]\n Detected: 4 | Progress: 24%|██▎ | 345/1468 [00:00<00:03, 369.64frames/s]\n Detected: 5 | Progress: 26%|██▌ | 384/1468 [00:01<00:02, 374.99frames/s]\n Detected: 5 | Progress: 29%|██▊ | 422/1468 [00:01<00:02, 376.09frames/s]\n Detected: 6 | Progress: 31%|███▏ | 460/1468 [00:01<00:02, 372.04frames/s]\n Detected: 6 | Progress: 34%|███▍ | 500/1468 [00:01<00:02, 377.90frames/s]\n Detected: 7 | Progress: 37%|███▋ | 541/1468 [00:01<00:02, 386.49frames/s]\n Detected: 7 | Progress: 40%|███▉ | 580/1468 [00:01<00:02, 386.82frames/s]\n Detected: 9 | Progress: 42%|████▏ | 619/1468 [00:01<00:02, 379.47frames/s]\n Detected: 9 | Progress: 45%|████▍ | 658/1468 [00:01<00:02, 380.86frames/s]\n Detected: 11 | Progress: 47%|████▋ | 697/1468 [00:01<00:02, 375.29frames/s]\n Detected: 14 | Progress: 51%|█████ | 749/1468 [00:01<00:01, 417.36frames/s]\n Detected: 15 | Progress: 54%|█████▍ | 793/1468 [00:02<00:01, 422.56frames/s]\n Detected: 16 | Progress: 58%|█████▊ | 845/1468 [00:02<00:01, 449.47frames/s]\n Detected: 18 | Progress: 61%|██████ | 891/1468 [00:02<00:01, 451.75frames/s]\n Detected: 20 | Progress: 64%|██████▍ | 940/1468 [00:02<00:01, 462.63frames/s]\n Detected: 21 | Progress: 67%|██████▋ | 988/1468 [00:02<00:01, 467.76frames/s]\n Detected: 22 | Progress: 71%|███████ | 1035/1468 [00:02<00:00, 456.45frames/s]\n Detected: 23 | Progress: 74%|███████▎ | 1081/1468 [00:02<00:00, 407.01frames/s]\n Detected: 24 | Progress: 76%|███████▋ | 1123/1468 [00:02<00:00, 407.89frames/s]\n Detected: 25 | Progress: 79%|███████▉ | 1165/1468 [00:02<00:00, 409.40frames/s]\n Detected: 25 | Progress: 82%|████████▏ | 1207/1468 [00:03<00:00, 400.18frames/s]\n Detected: 27 | Progress: 85%|████████▌ | 1248/1468 [00:03<00:00, 394.31frames/s]\n Detected: 28 | Progress: 88%|████████▊ | 1292/1468 [00:03<00:00, 406.80frames/s]\n Detected: 29 | Progress: 91%|█████████ | 1333/1468 [00:03<00:00, 399.71frames/s]\n Detected: 31 | Progress: 94%|█████████▎| 1376/1468 [00:03<00:00, 407.87frames/s]\n Detected: 31 | Progress: 97%|█████████▋| 1417/1468 [00:03<00:00, 401.10frames/s]\n Detected: 32 | Progress: 99%|█████████▉| 1458/1468 [00:03<00:00, 400.59frames/s]\nDetected: 32 | Progress: 100%|██████████| 1468/1468 [00:03<00:00, 400.59frames/s]\nDetected: 32 | Progress: 100%|██████████| 1468/1468 [00:03<00:00, 399.55frames/s]\n 0%| | 0/1468 [00:00<?, ?frame/s]\n 5%|▌ | 78/1468 [00:01<00:21, 65.82frame/s]\n 9%|▉ | 133/1468 [00:02<00:21, 63.45frame/s]\n 14%|█▍ | 203/1468 [00:03<00:19, 63.53frame/s]\n 17%|█▋ | 250/1468 [00:03<00:18, 64.12frame/s]\n 25%|██▌ | 371/1468 [00:05<00:14, 74.90frame/s]\n 29%|██▉ | 428/1468 [00:06<00:15, 68.38frame/s]\n 34%|███▍ | 501/1468 [00:07<00:13, 73.06frame/s]\n 40%|███▉ | 586/1468 [00:08<00:11, 78.71frame/s]\n 41%|████ | 603/1468 [00:08<00:12, 70.23frame/s]\n 46%|████▌ | 668/1468 [00:09<00:10, 75.93frame/s]\n 47%|████▋ | 684/1468 [00:09<00:10, 71.44frame/s]\n 48%|████▊ | 700/1468 [00:10<00:11, 65.24frame/s]\n 49%|████▉ | 717/1468 [00:10<00:12, 60.53frame/s]\n 51%|█████ | 746/1468 [00:10<00:11, 61.72frame/s]\n 53%|█████▎ | 785/1468 [00:11<00:10, 65.80frame/s]\n 56%|█████▌ | 818/1468 [00:11<00:09, 70.07frame/s]\n 59%|█████▉ | 863/1468 [00:12<00:08, 72.47frame/s]\n 60%|█████▉ | 880/1468 [00:12<00:08, 69.10frame/s]\n 61%|██████ | 898/1468 [00:12<00:08, 66.46frame/s]\n 63%|██████▎ | 922/1468 [00:13<00:08, 65.84frame/s]\n 65%|██████▌ | 961/1468 [00:13<00:07, 72.03frame/s]\n 69%|██████▊ | 1008/1468 [00:14<00:06, 72.27frame/s]\n 72%|███████▏ | 1055/1468 [00:15<00:05, 70.40frame/s]\n 74%|███████▍ | 1091/1468 [00:15<00:05, 70.70frame/s]\n 79%|███████▉ | 1159/1468 [00:16<00:03, 79.06frame/s]\n 83%|████████▎ | 1225/1468 [00:17<00:03, 80.13frame/s]\n 85%|████████▍ | 1245/1468 [00:17<00:03, 71.70frame/s]\n 87%|████████▋ | 1271/1468 [00:18<00:02, 69.91frame/s]\n 88%|████████▊ | 1299/1468 [00:18<00:02, 65.79frame/s]\n 91%|█████████ | 1334/1468 [00:19<00:02, 66.39frame/s]\n 94%|█████████▎| 1373/1468 [00:19<00:01, 65.44frame/s]\n 99%|█████████▊| 1448/1468 [00:20<00:00, 73.35frame/s]\n100%|██████████| 1468/1468 [00:20<00:00, 68.69frame/s]\n100%|██████████| 1468/1468 [00:20<00:00, 69.93frame/s]", "metrics": { "predict_time": 30.380322909, "total_time": 44.262346 }, "output": [ "https://storage.googleapis.com/r8-outputs-us-central1-long-term/kWPcxd876sr6PN7ijHpmBRg8NflN6Q2oekKQgeCOx8zB8ppmA/tmp51omv4fftest-Scene-001.mp4", "https://storage.googleapis.com/r8-outputs-us-central1-long-term/Kyxw4G9ycmqXHFjF09OEjChwDxCBrVGzeKJhaZdZefuA8ppmA/tmp51omv4fftest-Scene-002.mp4", "https://storage.googleapis.com/r8-outputs-us-central1-long-term/YrnUmshToX4EDVwwWuZBgfgekP8eqfQPMu53gRjC3usA4TTNB/tmp51omv4fftest-Scene-003.mp4", "https://storage.googleapis.com/r8-outputs-us-central1-long-term/JKY6utNdKDoTE9Vx4p1iBp0frNwx4bcgjSFvvzdYg4bAf0UTA/tmp51omv4fftest-Scene-004.mp4", "https://storage.googleapis.com/r8-outputs-us-central1-long-term/mWFhtnJ9XVrQKd0nvCG4x3XqxEQ5H5u7iu23NGpDNZMgPN1E/tmp51omv4fftest-Scene-005.mp4", 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Detected: 0 | Progress: 0%| | 0/1468 [00:00<?, ?frames/s] Detected: 0 | Progress: 2%|▏ | 28/1468 [00:00<00:05, 278.04frames/s] Detected: 0 | Progress: 5%|▍ | 69/1468 [00:00<00:04, 340.56frames/s] Detected: 1 | Progress: 7%|▋ | 108/1468 [00:00<00:03, 356.67frames/s] Detected: 2 | Progress: 10%|█ | 150/1468 [00:00<00:03, 381.01frames/s] Detected: 2 | Progress: 13%|█▎ | 191/1468 [00:00<00:03, 388.81frames/s] Detected: 3 | Progress: 16%|█▌ | 230/1468 [00:00<00:03, 382.94frames/s] Detected: 4 | Progress: 18%|█▊ | 269/1468 [00:00<00:03, 370.66frames/s] Detected: 4 | Progress: 21%|██ | 307/1468 [00:00<00:03, 370.26frames/s] Detected: 4 | Progress: 24%|██▎ | 345/1468 [00:00<00:03, 369.64frames/s] Detected: 5 | Progress: 26%|██▌ | 384/1468 [00:01<00:02, 374.99frames/s] Detected: 5 | Progress: 29%|██▊ | 422/1468 [00:01<00:02, 376.09frames/s] Detected: 6 | Progress: 31%|███▏ | 460/1468 [00:01<00:02, 372.04frames/s] Detected: 6 | Progress: 34%|███▍ | 500/1468 [00:01<00:02, 377.90frames/s] Detected: 7 | Progress: 37%|███▋ | 541/1468 [00:01<00:02, 386.49frames/s] Detected: 7 | Progress: 40%|███▉ | 580/1468 [00:01<00:02, 386.82frames/s] Detected: 9 | Progress: 42%|████▏ | 619/1468 [00:01<00:02, 379.47frames/s] Detected: 9 | Progress: 45%|████▍ | 658/1468 [00:01<00:02, 380.86frames/s] Detected: 11 | Progress: 47%|████▋ | 697/1468 [00:01<00:02, 375.29frames/s] Detected: 14 | Progress: 51%|█████ | 749/1468 [00:01<00:01, 417.36frames/s] Detected: 15 | Progress: 54%|█████▍ | 793/1468 [00:02<00:01, 422.56frames/s] Detected: 16 | Progress: 58%|█████▊ | 845/1468 [00:02<00:01, 449.47frames/s] Detected: 18 | Progress: 61%|██████ | 891/1468 [00:02<00:01, 451.75frames/s] Detected: 20 | Progress: 64%|██████▍ | 940/1468 [00:02<00:01, 462.63frames/s] Detected: 21 | Progress: 67%|██████▋ | 988/1468 [00:02<00:01, 467.76frames/s] Detected: 22 | Progress: 71%|███████ | 1035/1468 [00:02<00:00, 456.45frames/s] Detected: 23 | Progress: 74%|███████▎ | 1081/1468 [00:02<00:00, 407.01frames/s] Detected: 24 | Progress: 76%|███████▋ | 1123/1468 [00:02<00:00, 407.89frames/s] Detected: 25 | Progress: 79%|███████▉ | 1165/1468 [00:02<00:00, 409.40frames/s] Detected: 25 | Progress: 82%|████████▏ | 1207/1468 [00:03<00:00, 400.18frames/s] Detected: 27 | Progress: 85%|████████▌ | 1248/1468 [00:03<00:00, 394.31frames/s] Detected: 28 | Progress: 88%|████████▊ | 1292/1468 [00:03<00:00, 406.80frames/s] Detected: 29 | Progress: 91%|█████████ | 1333/1468 [00:03<00:00, 399.71frames/s] Detected: 31 | Progress: 94%|█████████▎| 1376/1468 [00:03<00:00, 407.87frames/s] Detected: 31 | Progress: 97%|█████████▋| 1417/1468 [00:03<00:00, 401.10frames/s] Detected: 32 | Progress: 99%|█████████▉| 1458/1468 [00:03<00:00, 400.59frames/s] Detected: 32 | Progress: 100%|██████████| 1468/1468 [00:03<00:00, 400.59frames/s] Detected: 32 | Progress: 100%|██████████| 1468/1468 [00:03<00:00, 399.55frames/s] 0%| | 0/1468 [00:00<?, ?frame/s] 5%|▌ | 78/1468 [00:01<00:21, 65.82frame/s] 9%|▉ | 133/1468 [00:02<00:21, 63.45frame/s] 14%|█▍ | 203/1468 [00:03<00:19, 63.53frame/s] 17%|█▋ | 250/1468 [00:03<00:18, 64.12frame/s] 25%|██▌ | 371/1468 [00:05<00:14, 74.90frame/s] 29%|██▉ | 428/1468 [00:06<00:15, 68.38frame/s] 34%|███▍ | 501/1468 [00:07<00:13, 73.06frame/s] 40%|███▉ | 586/1468 [00:08<00:11, 78.71frame/s] 41%|████ | 603/1468 [00:08<00:12, 70.23frame/s] 46%|████▌ | 668/1468 [00:09<00:10, 75.93frame/s] 47%|████▋ | 684/1468 [00:09<00:10, 71.44frame/s] 48%|████▊ | 700/1468 [00:10<00:11, 65.24frame/s] 49%|████▉ | 717/1468 [00:10<00:12, 60.53frame/s] 51%|█████ | 746/1468 [00:10<00:11, 61.72frame/s] 53%|█████▎ | 785/1468 [00:11<00:10, 65.80frame/s] 56%|█████▌ | 818/1468 [00:11<00:09, 70.07frame/s] 59%|█████▉ | 863/1468 [00:12<00:08, 72.47frame/s] 60%|█████▉ | 880/1468 [00:12<00:08, 69.10frame/s] 61%|██████ | 898/1468 [00:12<00:08, 66.46frame/s] 63%|██████▎ | 922/1468 [00:13<00:08, 65.84frame/s] 65%|██████▌ | 961/1468 [00:13<00:07, 72.03frame/s] 69%|██████▊ | 1008/1468 [00:14<00:06, 72.27frame/s] 72%|███████▏ | 1055/1468 [00:15<00:05, 70.40frame/s] 74%|███████▍ | 1091/1468 [00:15<00:05, 70.70frame/s] 79%|███████▉ | 1159/1468 [00:16<00:03, 79.06frame/s] 83%|████████▎ | 1225/1468 [00:17<00:03, 80.13frame/s] 85%|████████▍ | 1245/1468 [00:17<00:03, 71.70frame/s] 87%|████████▋ | 1271/1468 [00:18<00:02, 69.91frame/s] 88%|████████▊ | 1299/1468 [00:18<00:02, 65.79frame/s] 91%|█████████ | 1334/1468 [00:19<00:02, 66.39frame/s] 94%|█████████▎| 1373/1468 [00:19<00:01, 65.44frame/s] 99%|█████████▊| 1448/1468 [00:20<00:00, 73.35frame/s] 100%|██████████| 1468/1468 [00:20<00:00, 68.69frame/s] 100%|██████████| 1468/1468 [00:20<00:00, 69.93frame/s]
This model runs on CPU hardware. We don't yet have enough runs of this model to provide performance information.
This model doesn't have a readme.
输入图片和音频合并关键帧视频
minicpm 视频理解
图文识别
提取视频中的图片
提取视频中的音频
视频合并
视频转换工具包
This model is cold. You'll get a fast response if the model is warm and already running, and a slower response if the model is cold and starting up.
Choose a file from your machine
Hint: you can also drag files onto the input